Aws Mlops Engineer Jobs (NOW HIRING)

BizFirstis assisting our client with the hiring of an MLOps Engineer to build andoperate the infrastructure, tooling, and processes that keep machine learningmodels running reliably in production. This is a foundational role in theclient’s growing AI practice, sitting at the intersection of data engineering,platform engineering, and applied ML – where your work directly enables datascientists and ML engineers to move faster and ship with confidence.

Ourclient is a mid‑market professional services organization that is activelyrethinking how it designs and executes its core business operations throughartificial intelligence and automation. The company is building a dedicated AIcapability to embed machine learning and generative AI into its most criticalinternal workflows, from decision support and process automation to real-timeanalytics and intelligent document processing.

Theideal candidate has 4–8 years of experience in MLOps, DevOps, or platform/dataengineering, with direct experience standing up and maintaining MLinfrastructure in cloud environments. You have worked with CI/CD pipelines,containerized ML workloads, and model registries – and you understand what ittakes to move models from a notebook to a production system that is observable,scalable, and maintainable.

• Design,build, and maintain end-to-end ML pipelines including data ingestion, featureengineering, model training, evaluation, and deployment.
• Implementand manage CI/CD workflows for ML models, ensuring consistent, automated pathsfrom experimentation to production.
• Ownthe model registry, versioning strategy, and experiment tracking infrastructureused across the AI team.
• Buildmonitoring and alerting systems to detect model drift, data quality issues, andperformance degradation in deployed systems.
• Managecontainerized ML workloads using Docker and Kubernetes, including scheduling,resource allocation, and cost optimization.
• Collaborateclosely with data scientists and ML engineers to understand infrastructureneeds and reduce friction in the development lifecycle.
• Evaluateand adopt MLOps tooling (orchestration, feature stores, serving frameworks) tomature the team’s operational practices.
• Developrunbooks, documentation, and incident response procedures for production MLsystems.

USCitizen or Permanent Resident authorized to work in the United States.

Experience:4–8 years in MLOps, platform engineering, or a DevOps role with direct MLworkload responsibility.

Infrastructure:Proficiency with Docker, Kubernetes, and cloud platforms (AWS SageMaker, GCPVertex AI, or Azure ML).

Pipelines:Hands-on experience with orchestration tools such as Airflow, Prefect, KubeflowPipelines, or similar.

MLTooling: Working knowledge of MLflow, Weights & Biases, or equivalentexperiment tracking and model registry platforms.

Programming:Strong Python skills; comfort writing infrastructure-as-code (Terraform,Pulumi, or CloudFormation).

Monitoring:Experience building observability into production ML systems – metrics,logging, alerting, and dashboards.

Familiaritywith feature stores (Feast, Tecton, or similar) and online/offline featureserving patterns.

Backgroundworking in a fast-moving team where data scientists and ML engineers areprimary customers.

Experiencewith cost optimization strategies for large-scale cloud-based ML training andinference.

Degreein Computer Science, Software Engineering, or a related technical field.

JobType: Full-time, Permanent Position

USCitizen or Permanent Resident; no active security clearance required.

Mondayto Friday

BizFirst LLC is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

• FamilyHealth Care (54% cost covered for the entire family)
• FamilyDental (54% cost covered for the entire family)
• FamilyVision (54% cost covered for the entire family)
• Performancebonuses tied to project and delivery milestones
• LifetimeEvent Bonuses (e.g., new child, marriage)
• Profit-sharingarrangement for any work brought into the company
• UnlimitedLeave with Approval
• 401k– 100% employer match on first 4% invested
• $1,500annual training and conference budget